6G-based resource utilization framework in software defined hybrid vehicular networks,International Journal of Communication Systems

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6G-based resource utilization framework in software defined hybrid vehicular networks
International Journal of Communication Systems ( IF 1.7 ) Pub Date : 2022-10-09 , DOI: 10.1002/dac.5365
Shilpi Mittal ₁ , Rasmeet Singh Bali ₂

Affiliation

Advanced development in technology raises a huge number of data sources that generate real time data for processing. To process such huge and complex real time data, there is a need for high processing units and more computing resources available at the nearest end, which causes high deployment cost and needs distributed data processing units at different locations. To concern this issue, we proposed a 6G-based Resource Utilization Framework using SDN in the hybrid vehicular network (HVN). The key objective of this framework is to provide the computing vehicles as resources to complete the task efficiently. Three different technologies are combined into vehicular networks such as Vehicular Fog Computing, Vehicular Edge Computing, and Vehicular Cyber Physical System into integrated HVN. A layered architecture is used to define the data flow and control with the support of SDN and also the fast delivery of data by using 6G cellular communication in the proposed HVN. This scheme uses various algorithms to provide resources through the fast communication between vehicles in Hybrid Vehicular network. An extensive simulation is performed on the proposed scheme using the NS3 simulator. The simulation results outperform the performance of the proposed scheme in terms of various key computing parameters.

中文翻译：

软件定义的混合车辆网络中基于 6G 的资源利用框架

技术的先进发展产生了大量数据源，这些数据源可以生成实时数据进行处理。为了处理如此庞大而复杂的实时数据，需要高处理单元和就近端可用的更多计算资源，导致部署成本高，需要分布在不同位置的数据处理单元。为了解决这个问题，我们提出了在混合车辆网络（HVN）中使用 SDN 的基于 6G 的资源利用框架。该框架的主要目标是提供计算车辆作为资源以有效地完成任务。将三种不同的技术组合成车载网络，例如车载雾计算、车载边缘计算和车载网络物理系统，形成集成的 HVN。分层架构用于在 SDN 的支持下定义数据流和控制，以及在所提议的 HVN 中使用 6G 蜂窝通信快速传输数据。该方案使用各种算法通过混合动力车辆网络中车辆之间的快速通信来提供资源。使用 NS3 模拟器对提议的方案进行了广泛的模拟。仿真结果在各种关键计算参数方面优于所提出方案的性能。

更新日期：2022-10-10

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